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Capturing Empirically Derived Design Knowledge for Creating Conceptual Design Configurations

[+] Author Affiliations
Tolga Kurtoglu, Matthew I. Campbell, Joah Gonzalez

University of Texas at Austin, Austin, TX

Cari R. Bryant, Robert B. Stone, Daniel A. McAdams

University of Missouri at Rolla, Rolla, MO

Paper No. DETC2005-84405, pp. 249-257; 9 pages
  • ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Volume 5a: 17th International Conference on Design Theory and Methodology
  • Long Beach, California, USA, September 24–28, 2005
  • Conference Sponsors: Design Engineering Division and Computers and Information in Engineering Division
  • ISBN: 0-7918-4742-X | eISBN: 0-7918-3766-1
  • Copyright © 2005 by ASME


In an ideal design process, designers envision a configuration of components prior to determining dimensions or sizes of these components. Given the breadth of suppliers and production methods that exist today, most engineered artifacts are a mix of both custom-made parts and OEM (original equipment manufacturer) parts. The design of any future artifact must be carefully planned to take advantage of the diverse set of possibilities. We conjecture that computational design tools could be developed to help designers navigate the design space in creating configurations from detailed specifications of function. In this research, a methodology is developed that extracts design knowledge from an expanding online library of components in the form of grammar rules. From an initial implementation of forty-five rules compiled from 15 components extracted from three products, we demonstrate a computational process that builds a new design configuration by borrowing concepts from how common functions are solved in related designs.

Copyright © 2005 by ASME



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